Singular Perturbation based Frequency-Weighted Model Reduction of Discrete-Time Systems

摘要

In this paper, we present a new frequency weighted model reduction technique for discrete-time systems using balanced singular perturbation approximation with the help of partial fraction expansion. The proposed method ensures stability of the reduced-order models in double-sided weighting condition. The basic idea of the proposed technique is to merge the unweighted balanced technique and the partial-fraction based frequency-weighted technique. A 6^{th order stable low pass digital elliptic filter is considered to show the results of the proposed method.}